Evidence map›Paper›PMID 32119072›Full record

ArticleBioinformatics (Oxford, England)2020

Breeze: an integrated quality control and data analysis application for high-throughput drug screening.

Swapnil Potdar, Aleksandr Ianevski, John-Patrick Mpindi, Dmitrii Bychkov, Clément Fiere, Philipp Ianevski, Bhagwan Yadav, Krister Wennerberg, Tero Aittokallio, Olli Kallioniemi and 2 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Swapnil PotdarInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Aleksandr IanevskiInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
John-Patrick MpindiInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Dmitrii BychkovInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Clément FiereInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Philipp IanevskiInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Bhagwan YadavInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Krister WennerbergInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Tero AittokallioInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Olli KallioniemiInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Jani SaarelaInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.
Päivi ÖstlingInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, FI-00290 Helsinki, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryHigh-throughput screening (HTS) enables systematic testing of thousands of chemical compounds for potential use as investigational and therapeutic agents. HTS experiments are often conducted in multi-well plates that inherently bear technical and experimental sources of error. Thus, HTS data processing requires the use of robust quality control procedures before analysis and interpretation. Here, we have implemented an open-source analysis application, Breeze, an integrated quality control and data analysis application for HTS data. Furthermore, Breeze enables a reliable way to identify individual drug sensitivity and resistance patterns in cell lines or patient-derived samples for functional precision medicine applications. The Breeze application provides a complete solution for data quality assessment, dose-response curve fitting and quantification of the drug responses along with interactive visualization of the results. AVAILABILITY AND IMPLEMENTATION: The Breeze application with video tutorial and technical documentation is accessible at https://breeze.fimm.fi; the R source code is publicly available at https://github.com/potdarswapnil/Breeze under GNU General Public License v3.0. CONTACT: swapnil.potdar@helsinki.fi. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Data AnalysisSoftwareDrug Evaluation, PreclinicalHumansQuality Control

Identifiers

PMID32119072
PMCPMC7267830

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.